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Since the traditional flow-based monitoring tools~\cite{claiseCiscoSystemsNetFlow2004, claiseSpecificationIPFlow2013} and their extensions~\cite{RandomSampledNetFlow,estanBuildingBetterNetFlow2004} are far from keeping up with the high-speed networks, more advanced algorithms~\cite{zhaoHashFlowBetterFlow2019, sivaramanHeavyHitterDetectionEntirely2017, ben-basatEfficientMeasurementProgrammable2018, liFlowRadarBetterNetFlow2016, yangElasticSketchAdaptive2018} that
leverage the combination of the on-chip memory and the pipeline model in the data plane
have been proposed  to process packets and collect flow records at line rate. Unfortunately, these algorithms
fail to provide a mechanism to detect and export the inactive flows automatically. As a result, the recorded flows in the limited on-chip memory will go stale, which makes the fresh ones have less chance to be reported.
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